Tseng‐Cheng Chen

1.6k citations
67 papers · 1.1k · h-index 19

Impact in

    • Head and Neck Cancer Studies
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Cancer-related Molecular Pathways

Papers in

    • Head and Neck Cancer Studies 30
    • Esophageal Cancer Research and Treatment 6
    • Salivary Gland Tumors Diagnosis and Treatment 5

Tseng‐Cheng Chen

65 papers receiving 1.1k citations

Peers

Tseng‐Cheng Chen
Comparison fields: 5 of 78
  • Otorhinolaryngology 413
  • Oncology 257
  • Periodontics 41
  • Surgery 237
  • Cancer Research 67
Replace Chang Hwan Ryu with:
Chang Hwan Ryu South Korea
T. P. U. Wustrow Germany
Hung-Ming Wang Taiwan
George Kyrgias Greece
Vivian Bongers Netherlands
David Kalfeřt Czechia
N. Stafford United Kingdom
Connie Chan United States
Shaobo Liang China
Wilfredo Alejandro González‐Arriagada Chile
Tseng‐Cheng Chen relative to Chang Hwan Ryu South Korea Chang Hwan Ryu's profile →
Citations per field
00.5×4.1×
Chang Hwan Ryu · 1×
Citations per year

Countries citing papers authored by Tseng‐Cheng Chen

Since Specialization
Citations

This map shows the geographic impact of Tseng‐Cheng Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tseng‐Cheng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tseng‐Cheng Chen more than expected).

Fields of papers citing papers by Tseng‐Cheng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tseng‐Cheng Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tseng‐Cheng Chen. The network helps show where Tseng‐Cheng Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Tseng‐Cheng Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tseng‐Cheng Chen Line = papers co-authored together Tseng‐Cheng Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019106
2 201384
3 201565
4 201164
5 201762
6 202256
7 201247
8 200938
9 200938
10 201736
11 201331
12 201027
13 201627
14 202021
15 201221
16 201921
17 202220
18 201120
19 200819
20 201717

About Tseng‐Cheng Chen

Tseng‐Cheng Chen is a scholar working on Otorhinolaryngology, Surgery, Oncology, Artificial Intelligence and Molecular Biology, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (30 papers), Esophageal Cancer Research and Treatment (6 papers), Salivary Gland Tumors Diagnosis and Treatment (5 papers), AI in cancer detection (5 papers), Viral-associated cancers and disorders (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Dysphagia Assessment and Management (3 papers) and Voice and Speech Disorders (3 papers). The work is most often cited by research in Otorhinolaryngology (413 citations), Oncology (257 citations), Periodontics (41 citations), Surgery (237 citations) and Cancer Research (67 citations). Tseng‐Cheng Chen has collaborated with scholars based in Taiwan, United States and Costa Rica. Frequent co-authors include Cheng‐Ping Wang, Pei‐Jen Lou, Tsung‐Lin Yang, Jenq‐Yuh Ko, Yih‐Leong Chang, Wan‐Lun Hsu, Chun‐Nan Chen, Chen‐Tu Wu, Tzu‐Yu Hsiao and Kelly J. Yu. Their work appears in journals such as Oral Oncology, Head & Neck, Annals of Surgical Oncology, Scientific Reports and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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